EXAM 1Z0-1122-24 SYLLABUS - FREE PDF 2025 1Z0-1122-24: ORACLE CLOUD INFRASTRUCTURE 2024 AI FOUNDATIONS ASSOCIATE FIRST-GRADE NEW TEST SIMS

Exam 1z0-1122-24 Syllabus - Free PDF 2025 1z0-1122-24: Oracle Cloud Infrastructure 2024 AI Foundations Associate First-grade New Test Sims

Exam 1z0-1122-24 Syllabus - Free PDF 2025 1z0-1122-24: Oracle Cloud Infrastructure 2024 AI Foundations Associate First-grade New Test Sims

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Oracle 1z0-1122-24 Exam Syllabus Topics:

TopicDetails
Topic 1
  • OCI Generative AI and Oracle 23ai: This section covers CI Generative AI Services that are a key component of Oracle's AI offerings, and exploring these services provides a clear understanding of how Oracle supports generative AI applications.
Topic 2
  • Intro to AI Foundations: This section covers the fundamentals of AI are essential for understanding its wide-ranging impact and applications.
Topic 3
  • Get Started with OCI AI Portfolio: This section is about the OCI AI Portfolio which offers a comprehensive suite of services and infrastructure for developing and deploying AI models. Exploring the overview of OCI AI Services provides insight into the tools available for AI development.

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Oracle Cloud Infrastructure 2024 AI Foundations Associate Sample Questions (Q26-Q31):

NEW QUESTION # 26
Which AI Ethics principle leads to the Responsible AI requirement of transparency?

  • A. Fairness
  • B. Prevention of harm
  • C. Respect for human autonomy
  • D. Explicability

Answer: D


NEW QUESTION # 27
Which feature is NOT supported as part of the OCI Language service's pretrained language processing capabilities?

  • A. Language Detection
  • B. Text Generation
  • C. Sentiment Analysis
  • D. Text Classification

Answer: B

Explanation:
The OCI Language service offers several pretrained language processing capabilities, including Text Classification, Sentiment Analysis, and Language Detection. However, it does not natively support Text Generation as a part of its core language processing capabilities. Text Generation typically involves creating new content based on input prompts, which is a feature more commonly associated with models specifically designed for natural language generation.


NEW QUESTION # 28
What distinguishes Generative AI from other types of AI?

  • A. Generative AI involves training models to perform tasks without human intervention.
  • B. Generative AI uses algorithms to predict outcomes based on past data.
  • C. Generative AI creates diverse content such as text, audio, and images by learning patterns from existing data.
  • D. Generative AI focuses on making decisions based on user interactions.

Answer: C

Explanation:
Generative AI is distinct from other types of AI in that it focuses on creating new content by learning patterns from existing data. This includes generating text, images, audio, and other types of media. Unlike AI that primarily analyzes data to make decisions or predictions, Generative AI actively creates new and original outputs. This ability to generate diverse content is a hallmark of Generative AI models like GPT-4, which can produce human-like text, create images, and even compose music based on the patterns they have learned from their training data.


NEW QUESTION # 29
What is "in-context learning" in the realm of Large Language Models (LLMs)?

  • A. Teaching a model through zero-shot learning
  • B. Providing a few examples of a target task via the input prompt
  • C. Modifying the behavior of a pretrained LLM permanently
  • D. Training a model on a diverse range of tasks

Answer: B

Explanation:
"In-context learning" in the realm of Large Language Models (LLMs) refers to the ability of these models to learn and adapt to a specific task by being provided with a few examples of that task within the input prompt. This approach allows the model to understand the desired pattern or structure from the given examples and apply it to generate the correct outputs for new, similar inputs. In-context learning is powerful because it does not require retraining the model; instead, it uses the examples provided within the context of the interaction to guide its behavior.


NEW QUESTION # 30
What feature of OCI Data Science provides an interactive coding environment for building and training models?

  • A. Accelerated Data Science (ADS) SDK
  • B. Conda environment
  • C. Model catalog
  • D. Notebook sessions

Answer: D

Explanation:
In OCI Data Science, Notebook sessions provide an interactive coding environment that is essential for building, training, and deploying machine learning models. These sessions allow data scientists to write and execute code in real time, offering a flexible environment for data exploration, model experimentation, and iterative development. The integration with various OCI services and support for popular machine learning frameworks further enhances the utility of Notebook sessions, making them a crucial tool in the data science workflow.


NEW QUESTION # 31
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